Man pages for HamdaBinteAjmal/DBN4GRN
An R Package for Learning Sparse DBN Structures to Reverse Engineer Gene Regulatory Networks

ApplyLassoThis function applies L1 regularised Lasso regression on the...
CalculatePrecisionAndRecallForMultipleThis function is used to compute the results for a simulation...
CalculatePriorsThis function calculates the LOPC or the LASSO parents of...
CombineBICandPriorsInternal function. For full exhaustive search, sum up the BIC...
ConstructBNUsingMaxScoringParentsThis function takes in all scores for all parents...
DBN4GRNDBN4GRN Package contains functions to learn sparse dynamic...
ExecuteG1DBNS1This function calculates the first order conditional...
ExhaustiveSearchForBestParentsExhaustively looks for best combination of parents, up to max...
GetAMATThis function is for internal use only.
GreedySearchParentsWithPriorsThis function applied greedy hill climbing search to find the...
GreedySearchWithPriors_OneTargetInternal function Applied greedy hill-climbing search to each...
ImputeDataApplies linear interpolation for missing (NA) values in the...
LASSOInternal function. Applies Lasso regression on the dataset...
MakeAllPossibleCombinationMakes all possible combination of sets of parents, maximum...
MakeArcSetTake a learned Bayesian network structure (bnlearn object)...
Normalisation_01Normalise the data values between 0 and 1.
PercentageValidatedFromRecoveredThis function calculates the number and percentage of true...
ScoreEntirepossibleSetsOfParentsThis methods calculates BIC score for each target node, for...
ShiftDataPuts the data in a time frame with values of variables in the...
ShiftData_deltaPuts the data in a time frame with values of variables in the...
SimulateDataSimulate Data This function first generates a random network...
yeast_dataSpellmans Yeast Cell Cycle data From this study...
yeasts_arcs_validatedRegulatory links verified by research and experimentation,...
HamdaBinteAjmal/DBN4GRN documentation built on Dec. 27, 2021, 2:08 p.m.